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Articles Published Processes
10/28/2024 7:36:17 AM | Browse: 43 | Download: 131
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Received |
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2024-05-14 10:49 |
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Peer-Review Started |
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2024-05-14 10:49 |
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To Make the First Decision |
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Return for Revision |
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2024-09-11 02:38 |
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Revised |
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2024-09-26 10:47 |
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Second Decision |
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2024-10-18 01:33 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2024-10-20 09:30 |
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Articles in Press |
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2024-10-20 09:30 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-10-24 02:25 |
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Publish the Manuscript Online |
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2024-10-28 07:36 |
ISSN |
1949-8470 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Radiology, Nuclear Medicine & Medical Imaging |
Manuscript Type |
Review |
Article Title |
Quantitative magnetic resonance imaging in prostate cancer: A review of current technology
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Manuscript Source |
Invited Manuscript |
All Author List |
Ankita Dhiman, Virendra Kumar and Chandan Jyoti Das |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Chandan Jyoti Das, MD, PhD, Professor, Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, Delhi, India. chandan.das@aiims.edu |
Key Words |
Prostate cancer; Quantitative imaging; Magnetic resonance imaging; Apparent diffusion coefficient |
Core Tip |
Quantitative imaging has many advantages over conventional qualitative assessment. A few parameters have also been shown to correlate with the Gleason score and can help in deciding disease prognosis and clinical management. A quantitative imaging biomarker could improve prostate cancer (PCa) detection by minimizing inter-observer variability, thereby reducing overdiagnosis of clinically insignificant PCa (Gleason score < 7). This would help avoid unnecessary biopsies and decrease the overtreatment of slow-growing PCa. In addition, with further advancement in the quantitative imaging parameters, they may be used to monitor therapeutic response or to predict response to a particular treatment. |
Publish Date |
2024-10-28 07:36 |
Citation |
<p>Dhiman A, Kumar V, Das CJ. Quantitative magnetic resonance imaging in prostate cancer: A review of current technology. <i>World J Radiol</i> 2024; 16(10): 497-511</p> |
URL |
https://www.wjgnet.com/1949-8470/full/v16/i10/497.htm |
DOI |
https://dx.doi.org/10.4329/wjr.v16.i10.497 |
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